Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Editing transformation data types

Editing transformation data types

When
Data Integration
reads source data, it converts the native data types to comparable transformation data types before it transforms the data. When
Data Integration
writes to a target, it converts the transformation data types to the comparable native data types. When you edit source metadata, you can sometimes change the transformation data type for a field.
You can change the transformation data type for connectors in which the native data type has multiple corresponding transformation data types.
For example, in a Kafka source, you can map the native data type binary to the transformation data type binary or string.
To change the transformation data type, edit the metadata for the source, and select the appropriate transformation data type in the
Type
column.
When you edit the transformation data type for a field,
Data Integration
updates the data type for the field in the downstream transformations. It also updates the data type for the field in the target if the target is created at runtime. If the mapping contains an existing target, you might need to edit the field metadata in the target to ensure that the data types are compatible.
For more information about editing transformation data types for different source types, see the help for the appropriate connector.

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